Advanced Capabilities and Data Visualization
Advanced Capabilities and Data Visualization
The NJWSC combines traditional hydrology with advanced scientific methods to produce innovative tools and technical capabilities to obtain and present scientific data.
Filter Total Items: 45
Evaluation of Water-Supply Issues
The NJ Coastal Plain RASA (Regional Aquifer System Analysis) model (in this document referred to simply as “the RASA model”) is one of the most widely used models by hydrologists in the NJWSC. This model was developed as part of the RASA program, which was started in 1978 after a congressional mandate to develop quantitative appraisals of the major groundwater systems of the United States.
Penobscot Indian Nation Database
A database was developed by the USGS for the Penobscot Indian Nation (PIN) in 1999 to store water-quality and associated data. A data-entry application in MS Access was also provided. The resulting database and data-entry application are referred to as the Penobscot Indian Nation Environmental (PINE) database. For FY11 the USGS has been requested for development assistance to further improve the...
Refinement of the Penobscot Indian Environmental database and supporting applications, and data export to WQX format
In the summer of 2007 the Penobscot Indian Nation was approved for a grant from EPA to establish a data-sharing node at their location. This node will be part of the EPA WQX data-exchange network. In FY08 the USGS will again assist the PIN with the remaining changes needed for the main database, updating the 2007 applications as needed after a full season of field use, providing additional...
Refinements of the Data-Collection Workflow and Use of the Penobscot Indian Nation Environmental (Pine) Database
A database was developed by the USGS for the Penobscot Indian Nation (PIN) in 2000 to store water-quality and associated data. A data-entry application in MS Access was also provided. The resulting database and data-entry application are referred to as the Penobscot Indian Nation Environmental (PINE) database.
Ecologically Relevant Hydrologic Indices for a Baseline Period of Record for Selected Stream Gages in New Jersey
The hydroecological integrity assessment process (HIP) has been fully developed for the State of New Jersey (NJHIP). The New Jersey Department of Environmental Protection is in the process of applying ecologically relevant ecological flow goals (ERHI's) from the NJHIP to current and future regulation of New Jersey streams. It is the goal of NJDEP to evaluate potential impacts of a proposed water...
Watershed Indicators
Various questions arise on whether or not realistic stream restoration goals can be established with our current understanding of watershed indicators and major controlling factors of aquatic ecosystem health. State-of-the-art statistical, GIS, and hydrologic modeling approaches at multiple levels of data stratification will be extensively used to evaluate the AMNET assessment methodology...
Refinements of a Data-Model for Watershed Water Budget Analysis
The overall objective of this project is to provide to the NJDEP a data model that can be used to develop a working database for various watershed planning, water supply planning and water management regulatory activities. As part of a water-use database project for the USGS Districts in New England, a data model and database were created to provide a tool to better evaluate the water use in the...
Validation of Membrane Diffusion Sampler
This project will provide demonstration and validation of the RCDM diffusion sampler for monitoring groundwater at DoD sites.
Processes Affecting the Natural Attenuation of Gasoline in Ground Water -- Galloway Township, New Jersey
Gasoline spills from leaking underground storage tanks is the most common mechanism of subsurface point source contamination. The U.S. Geological Survey's Toxic Substances Hydrology Program investigated the fate and transport of hydrocarbons in the unsaturated zone and shallow groundwater at a gasoline-spill site in Galloway Township, New Jersey.